IndTrackMODELSWARD 2017 Abstracts


Full Papers
Paper Nr: 2
Title:

Empowering Testing Activities with Modeling - Achievements and Insights from Nine Years of Collaboration with Cisco

Authors:

Shaukat Ali, Marius Liaaen, Shuai Wang and Tao Yue

Abstract: Research-Based Innovation (RBI) aims at bringing research-driven innovative solutions to the industrial problems identified from the industry in close collaboration with researchers. This paper focuses on presenting one such instance of RBI between Cisco Systems, Norway and the Software Engineering department of Simula Research Laboratory, Norway over the period of last nine years. The main topic of the collaboration was related to improving the current testing practice at Cisco with the use of models. We present a brief overview of various model-driven testing projects, and lessons learned from such RBI collaboration from researchers’ perspective.

Paper Nr: 3
Title:

Practical Large-scale Model-Driven Development of Business Applications with an Executable UML

Authors:

Dragan Milićev

Abstract: Despite intensive work in academy and industry around it in the last two decades, the discipline of model-driven development with UML apparently has not become the industrial mainstream for building large-scale information systems. In this paper, we present our attitude toward two probably mostly debated topics: 1) the lackluster adoption of MDD with UML in this field; we try to identify and explain what we believe are the main reasons for it, and 2) the controversial debate about general-purpose modeling languages, UML in particular, versus domain-specific modeling languages (DSLs). We present our approach to building large-scale business applications based on an executable profile of UML, named OOIS UML, and implemented as a framework named SOLoist. We also briefly report on our experiences and lessons learnt from successfully using the approach and the framework in industrial projects of different size and domains over the last fifteen years.

Paper Nr: 4
Title:

A Model based Realisation of Actor Model to Conceptualise an Aid for Complex Dynamic Decision-making

Authors:

Souvik Barat, Vinay Kulkarni, Tony Clark and Balbir Barn

Abstract: Effective decision-making of modern organisation requires deep understanding of various aspects of organisation such as its goals, structure, business-as-usual operational processes etc. The large size and complex structure of organisations, socio-technical characteristics, and fast business dynamics make this decision-making a challenging endeavour. The state-of-practice of decision-making that relies heavily on human experts is often reported as ineffective, imprecise and lacking in agility. This paper evaluates a set of candidate technologies and makes a case for using actor based simulation techniques as an aid for complex dynamic decision-making. The approach is justified by enumeration of basic requirements of complex dynamic decision-making and the conducting a suitability of analysis of state-of-the-art enterprise modelling techniques. The research contributes a conceptual meta-model that represents necessary aspects of organisation for complex dynamic decision-making together with a realisation in terms of a meta model that extends Actor model of computation. The proposed approach is illustrated using a real life case study from business process outsourcing industry.

Paper Nr: 5
Title:

Towards Automated Generation of Regulation Rule Bases using MDA

Authors:

Deepali Kholkar, Sagar Sunkle and Vinay Kulkarni

Abstract: Enterprises today face the problem of complying with ever-increasing regulation. Use of rule engines for implementing compliance is widespread, however, the rule base needs to be encoded manually. We present a method using model-driven architecture (MDA) to automate generation of rules in a rule language, from a platform-independent model derived from a specification given by domain experts. We demonstrate how a Semantics of Business Vocabulary and Rules (SBVR) model of regulation rules can serve as the common source model for generating rules on various categories of rule engine platforms. The approach is illustrated using a real-life case study from the MiFID-2 financial regulation.

Paper Nr: 6
Title:

Objecting to the Revolution: Model-Based Engineering and the Industry - Root Causes Beyond Classical Research Topics

Authors:

Gerald Stieglbauer and Igor Rončević

Abstract: By now, model-based engineering (MBE) has a long tradition in academics and research. In contrast to this long tradition, however, adoption of MBE principles in the industry still remain limited. This led to corresponding debates within the modelling community about the root causes of this limited adoption. This paper highlights the importance of these debates and shares the experience gained during many years of technology transfer activity from research to industrial applications. We are presenting two hypotheses beyond classical research topics, for which we have observed in practice that they have the potential to make the adoption of MBE principles in industry more successful. Since these hypotheses are currently based on our observations rather than on scientific research, we want to encourage the modelling community to take the presented aspects into account in their research work.